https://github.com/zju3dv/manhattan_sdf
공식 코드Neural 3D Scene Reconstruction with the Manhattan-world Assumption
Papers with Code 아카이브
3D Scene Reconstruction
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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Creating 3D scene either using conventional SFM pipelines or latest deep learning approaches.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/ActiveVisionLab/ray-onet
CoReNet: Coherent 3D scene reconstruction from a single RGB image
https://github.com/AndreeaDogaru/Gen3DSR
Gen3DSR: Generalizable 3D Scene Reconstruction via Divide and Conquer from a Single View
https://github.com/NVlabs/neuralrgbd
Neural RGB->D Sensing: Depth and Uncertainty from a Video Camera
https://github.com/aibluefisher/graphoptim
A Pose-only Solution to Visual Reconstruction and Navigation
https://github.com/aljazbozic/transformerfusion
TransformerFusion: Monocular RGB Scene Reconstruction using Transformers
https://github.com/astra-vision/PaSCo
SceneRF: Self-Supervised Monocular 3D Scene Reconstruction with Radiance Fields
https://github.com/astra-vision/lmscnet
https://github.com/astra-vision/monoscene
https://github.com/charlesCXK/3D-SketchAware-SSC
3D Sketch-aware Semantic Scene Completion via Semi-supervised Structure Prior
https://github.com/charlesCXK/TorchSSC
3D Sketch-aware Semantic Scene Completion via Semi-supervised Structure Prior
https://github.com/facebookresearch/uco3d
Compact 3D Scene Representation via Self-Organizing Gaussian Grids
https://github.com/hlinchen/gnesf
NeuralRecon: Real-Time Coherent 3D Reconstruction from Monocular Video
https://github.com/linketic/citygaussian
CityGaussian: Real-time High-quality Large-Scale Scene Rendering with Gaussians
https://github.com/magicleap/Atlas
https://github.com/rzhevcherkasy/bmvc24-gsim
Mirror-3DGS: Incorporating Mirror Reflections into 3D Gaussian Splatting
https://github.com/stefan-ainetter/HOC-Search
HOC-Search: Efficient CAD Model and Pose Retrieval from RGB-D Scans
https://github.com/stefan-ainetter/SCANnotateDataset
HOC-Search: Efficient CAD Model and Pose Retrieval from RGB-D Scans
https://github.com/stefan-ainetter/SCANnotatepp
HOC-Search: Efficient CAD Model and Pose Retrieval from RGB-D Scans
https://github.com/suryanshkumar/online-joint-depthfusion-and-semantic
https://github.com/umich-curly/3dmapping
https://github.com/wMito/HuSc3D
HuSc3D: Human Sculpture dataset for 3D object reconstruction
https://github.com/yangyucheng000/NeuralRecon
NeuralRecon: Real-Time Coherent 3D Reconstruction from Monocular Video
https://github.com/yijiaguo02/spikegs
SpikeGS: Reconstruct 3D scene via fast-moving bio-inspired sensors
https://github.com/zhipeixu/fakeshield
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.